7.6 Computer Science – Leadership Development Program

About Phoenix Tailings 

Phoenix Tailings is a rapidly growing clean mining and metals production startup dedicated to sustainable and economic critical metals production. Our mission is to be the world's first fully clean mining and metals production company, producing the resources needed for the next generation of our economy. 

Why Phoenix Tailings 

At Phoenix, we believe that nothing great is ever accomplished alone or without the passion of people who push and motivate one another. If you are someone who shares our relentless pursuit of a better future, passion for innovation, and are excited about working with some of the top innovators in the world, then this is the place for you. 

Our Values 

● You are only crazy if you are wrong, it’s ok to be wrong

● Lead with Compassion

● Be Resourceful

● Listen

● Hustle

Who We Are Looking For 

Phoenix Tailings is seeking a driven, innovative Computer Science-LDP for the 2nd cohort of our Leadership Development Program (LDP). This intensive program is designed for individuals ready to immerse themselves in chemical process development, push their personal limits, and build the foundation for future leadership within the company. Success in this program will require dedication, a willingness to work long days and adapt to any shift the company needs, and the flexibility to step outside of traditional job descriptions to support critical projects.

This program is not for everyone, but for those who want to challenge themselves, lead the future of clean metals production, and leave their mark on the world, Phoenix Tailings offers an unparalleled opportunity. 

• Analyze and synthesize data across R&D, operations, and supply chain to support strategic business decisions 
• Build data pipelines and dashboards to monitor critical metrics across our clean metal production workflows 
• Identify inefficiencies or opportunities for process improvement using data-driven insights 
• Collaborate with engineers and scientists to model and interpret experimental results 
• Leverage statistical tools and machine learning models to forecast demand, optimize inputs, or detect anomalies 
• Assist in developing and standardizing data governance and documentation practices 
• Present actionable findings to cross-functional teams and executive leadership 
• Support the integration of new tools and analytics platforms to enhance business intelligence capabilities 

• Bachelor’s or Master’s degree in Data Science, Engineering, Mathematics, Physics, Computer Science, or a related field 
• Strong proficiency in SQL, Python, or R for data manipulation and analysis 
• Experience with data visualization tools (e.g., Tableau, Power BI) 
• Solid foundation in statistical analysis and problem-solving 
• Passion for sustainability, innovation, and clean technology 
• Ability to translate complex data into clear, actionable insights 
• Strong communication skills and a collaborative mindset 

• Healthcare, we care about you and your family: 100% Medical, dental, and vision coverage 
• Stock: Ownership in a fast-growing venture-backed company. 
• Family Focus: Parental leave and flexibility for families. 
• Time Off: Flexible vacation policy to encourage people to get out and see the world. 
• Team Fun: Regularly scheduled events, and celebrations. 
• Learning: Learning and development Opportunities to grow your skills and career. 
• Great team: Working with fun, hard-working, kind people committed to making a difference! 
• Flexible culture: We are results-focused. We don’t work at the office every day. 

At Phoenix Tailings, we have an open culture that values learning, and we are looking to grow the team with enthusiastic individuals who share our vision of sustainable mining.  

Phoenix Tailings, Inc. is an Equal Opportunity Employer, and we value diversity at all levels. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability or genetic information, or any other applicable protected characteristics, and these characteristics will not be a factor for consideration of any work-related decisions (including but not limited to hiring, firing, compensation, and discipline).